Blog

A tool I couldn't build in two days was done in half an hour by switching models. When I couldn't log into my computer, an AI agent fixed it in half an hour. Later, I built Aima Service—so every device can have an AI ready to help when things go wrong.

Zero-friction onboarding plus extremely powerful AI intelligence—two pillars can't hold up a product. When users see an agent executing incomprehensible commands in the terminal, their first reaction isn't awe, it's fear. The missing pillar is progressive trust.

Prompts, RAG, fine-tuning, knowledge graphs, context engineering—five paradigm shifts in three years. Models are getting stronger, but we still don't know how to make agents perform well in products.

Mac's permission model is designed for humans; Linux is designed for programs. An Agent is not an app—it is infrastructure. Running an Agent on a Mac is like stuffing a server into a laptop chassis—it works, but everything feels off.

I previously wrote about cost and power. This piece fills in the legal gap. The cloud is rented to you; the edge is sold to you. When AI Agents start making autonomous decisions, this distinction is far more than a business choice.

MiniMax surpassing Baidu in valuation is inevitable—Baidu doesn't even have a decent API. Traffic is shifting from humans to Agents. Infrastructure not built for Agents will eventually be used by neither humans nor machines.

The AI wave is too big; in the end, there's only one boat. Helping people install OpenClaw for free isn't charity—it's about getting people on board, training and evolving. Every installation makes the AI agent stronger.